About this event
Join Jean-Baptiste Huiban, co-founder of Jayd.ai, on Sep 9, 2025, for a virtual meetup exploring prompt engineering techniques to optimize generative AI for business growth, productivity, and marketing.
Online Event
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Lion : L'école de l'avant-garde pour les employés
Join Jean-Baptiste Huiban, co-founder of Jayd.ai, on Sep 9, 2025, for a virtual meetup exploring prompt engineering techniques to optimize generative AI for business growth, productivity, and marketing.
France Digitale’s AI Day X NoCode Summit brings together AI leaders, no-code makers, startups and builders for talks, demos and networking. The 9th edition on Feb 17, 2026 in Paris showcases AI-powered no-code tools, product launches and practical use cases to help teams build faster.

Air Street Paris AI meetup: exploring the state of AI, research trends, and applied-use cases in a collaborative, in-person setting in Paris. This event is organized by Air Street Capital, with Nathan Benaich, and is hosted by the Luma venue. What to expect: - An evening focused on AI topics, from cutting-edge research discussions to real-world applications. The program is designed for researchers, engineers, product builders, founders, and AI-curious locals who want to understand where AI is headed and how to apply it in their work. - A curated speaker lineup featuring insights from both research and industry: - Nathan Benaich, author of the State of AI Report, delivering a tl;dr overview of the 2025 State of AI Report. - Cyril Diagne, Member of Technical Staff at Black Forest Labs, sharing practical research perspectives. - Edouard Yvinec, Senior Research Scientist at Google DeepMind, discussing advanced AI capabilities and implications. - Networking and a social hour following the formal program, offering opportunities to connect with peers, potential collaborators, and founders in the Paris AI community. Event details: - Date and time: Wednesday, 11 March 2026 at 17:00 (5:00 PM) - Location: Paris, Île-de-France. The exact venue is revealed to registrants after signup (RSVP required and subject to host approval). - Format: In-person meetup with talks, Q&A, and networking - Registration: Registration is required and subject to host approval. Attendees should RSVP to access the final location details. Who should attend: - AI researchers, data scientists, ML engineers, and product builders - Founders and startup teams building AI-enabled products or services - Students and academics interested in AI trends and practical applications Why you should come: - Get direct access to leaders in AI research and industry, including a summary of the 2025 State of AI Report. - Learn about concrete AI use cases, research directions, and how to deploy AI responsibly in real-world projects. - Expand your network with like-minded peers in Paris’ vibrant AI ecosystem. Cross-links and discovery: - Find more AI events in [Paris](https://www.createwith.com/cities/paris) or explore more [automation events](/directory/events?topic=automation). - Discover related AI tools and platforms in our directory when relevant to upcoming discussions. Registration and venue notes: - The event requires RSVP and host approval for attendance. Final venue details are shared with co
UiPath FUSION Paris Agentic Labs invites tech leaders, AI practitioners, and automation enthusiasts to a focused, one-day deep-dive into agentic automation. On April 1, 2026, in Paris, this event will move beyond pilots and concepts to practical deployment, governance, and measurable business impact. Whether you’re a chief architect, a developer champion, or an automation advocate, you’ll gain a holistic view of how agentic automation fits into the enterprise stack and how to scale its benefits quickly. What to expect: - A clear big-picture view of agentic automation and how it ties to your enterprise strategy - Deep dives into practical deployment patterns, integration points, and measurable outcomes - A format designed for both strategic decision-makers and hands-on practitioners, with sessions that cover both technology and implementation - Real-world insights on accelerating adoption, reducing risk, and maximizing ROI across your organization Who should attend: - CIOs, CTOs, solution architects, and engineering leaders - AI practitioners, RPA developers, and automation engineers - Product managers and business leaders driving digital transformation Format and experience: - In-person Agentic Labs sessions as part of UiPath FUSION Paris - A mix of expert talks, live demonstrations, interactive labs, and peer discussions - Opportunities to network with peers and UiPath experts to share best practices and lessons learned Why attend: - Move from theory to actionable plans: learn how to operationalize agentic automation with a clear path from pilot to production - Learn governance, security, and scalability considerations to mitigate risk while accelerating delivery - Discover practical architectures and workflows that enable fast, measurable results across departments Important details: - Date: 1 April 2026 - Location: Paris, France (in-person) - Format: Agentic Labs deep-dive sessions within the FUSION event - Registration: Available on the UiPath event page at https://www.uipath.com/events/fusion/global/paris/agentic-labs This session is tailored for those who are driving automation forward in large-scale environments and want concrete steps to implement agentic automation with tangible business impact. By attending, you’ll leave with a clearer vision, a set of practical deployment patterns, and the network needed to turn strategy into execution. Discover more about AI-enabled automation opportunities and find additional Paris-based AI and automati
Join dotAI, the world's brightest conference for AI builders and developers, on September 17, 2026, in Paris at the Folies Bergère theater. This 1-day event will bring together 1,500 AI builders and top researchers from companies like Google, Microsoft, Anthropic, OpenAI, NVIDIA, and Databricks. Get the latest news, features, and best practices in Artificial Intelligence. Expect insights into AI engineering, ML infrastructure, natural language processing, and automated theorem proving from leading experts.
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